Convert dataset to Parquet

README.md

@@ -9,7 +9,6 @@ license:
 - unknown
 multilinguality:
 - multilingual
-pretty_name: WikiSnippets
 size_categories:
 - 10M<n<100M
 source_datasets:
@@ -20,7 +19,7 @@ task_categories:
 - other
 task_ids:
 - language-modeling
-paperswithcode_id: null
+pretty_name: WikiSnippets
 tags:
 - text-search
 dataset_info:
@@ -48,10 +47,10 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 12938641686
+    num_bytes: 12927635491
     num_examples: 17553713
-  download_size: 0
-  dataset_size: 12938641686
+  download_size: 7022389836
+  dataset_size: 12927635491
 - config_name: wikipedia_en_100_0
   features:
   - name: _id
@@ -76,10 +75,19 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 26407884393
+    num_bytes: 26386660503
     num_examples: 33849898
-  download_size: 0
-  dataset_size: 26407884393
+  download_size: 13135892980
+  dataset_size: 26386660503
+configs:
+- config_name: wiki40b_en_100_0
+  data_files:
+  - split: train
+    path: wiki40b_en_100_0/train-*
+- config_name: wikipedia_en_100_0
+  data_files:
+  - split: train
+    path: wikipedia_en_100_0/train-*
 ---
 
 # Dataset Card for "wiki_snippets"

wiki40b_en_100_0/train-00000-of-00026.parquet

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wiki40b_en_100_0/train-00001-of-00026.parquet

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wiki40b_en_100_0/train-00002-of-00026.parquet

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wiki40b_en_100_0/train-00003-of-00026.parquet

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wiki40b_en_100_0/train-00012-of-00026.parquet

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wiki40b_en_100_0/train-00018-of-00026.parquet

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wiki40b_en_100_0/train-00019-of-00026.parquet

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wiki40b_en_100_0/train-00023-of-00026.parquet

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wiki_snippets.py

@@ -1,210 +0,0 @@
-# WARNING: Please, do not use the code in this script as a template to create another script:
-# - It is a bad practice to use `datasets.load_dataset` inside a loading script. Please, avoid doing it.
-
-import json
-import math
-
-import datasets
-
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_CITATION = """\
-@ONLINE {wikidump,
-    author = {Wikimedia Foundation},
-    title  = {Wikimedia Downloads},
-    url    = {https://dumps.wikimedia.org}
-}
-"""
-
-_DESCRIPTION = """\
-Wikipedia version split into plain text snippets for dense semantic indexing.
-"""
-
-_LICENSE = (
-    "This work is licensed under the Creative Commons Attribution-ShareAlike "
-    "3.0 Unported License. To view a copy of this license, visit "
-    "http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to "
-    "Creative Commons, PO Box 1866, Mountain View, CA 94042, USA."
-)
-
-
-def wiki40b_article_snippets(article, passage_len=100, overlap=0):
-    paragraphs = article["text"].split("\n")
-    aticle_idx = paragraphs.index("_START_ARTICLE_") + 1
-    article_title = paragraphs[aticle_idx] if aticle_idx < len(paragraphs) else ""
-    section_indices = [i + 1 for i, par in enumerate(paragraphs[:-1]) if par == "_START_SECTION_"]
-    par_tabs = [par.split(" ") for par in paragraphs]
-    word_map = [
-        (i, len(" ".join(par[:j])), w)
-        for i, par in enumerate(par_tabs)
-        if not par[0].startswith("_START_")
-        for j, w in enumerate(par)
-        if i > 0
-    ]
-    step_size = passage_len - overlap
-    passages = []
-    for i in range(math.ceil(len(word_map) / step_size)):
-        pre_toks = word_map[i * step_size : i * step_size + passage_len]
-        start_section_id = max([0] + [j for j in section_indices if j <= pre_toks[0][0]])
-        section_ids = [j for j in section_indices if j >= start_section_id and j <= pre_toks[-1][0]]
-        section_ids = section_ids if len(section_ids) > 0 else [0]
-        passage_text = " ".join([w for p_id, s_id, w in pre_toks])
-        passages += [
-            {
-                "article_title": article_title,
-                "section_title": " & ".join([paragraphs[j] for j in section_ids]),
-                "wiki_id": article["wikidata_id"],
-                "start_paragraph": pre_toks[0][0],
-                "start_character": pre_toks[0][1],
-                "end_paragraph": pre_toks[-1][0],
-                "end_character": pre_toks[-1][1] + len(pre_toks[-1][2]) + 1,
-                "passage_text": passage_text.replace("_NEWLINE_", "\n"),
-            }
-        ]
-    return passages
-
-
-def wikipedia_article_snippets(article, passage_len=100, overlap=0):
-    paragraphs = [par for par in article["text"].split("\n") if not par.startswith("Category:")]
-    if "References" in paragraphs:
-        paragraphs = paragraphs[: paragraphs.index("References")]
-    article_title = article["title"]
-    section_indices = [
-        i + 1
-        for i, par in enumerate(paragraphs[:-2])
-        if paragraphs[i] == "" and paragraphs[i + 1] != "" and paragraphs[i + 2] != ""
-    ]
-    par_tabs = [par.split(" ") for par in paragraphs]
-    word_map = [(i, len(" ".join(par[:j])), w) for i, par in enumerate(par_tabs) for j, w in enumerate(par)]
-    step_size = passage_len - overlap
-    passages = []
-    for i in range(math.ceil(len(word_map) / step_size)):
-        pre_toks = word_map[i * step_size : i * step_size + passage_len]
-        start_section_id = max([0] + [j for j in section_indices if j <= pre_toks[0][0]])
-        section_ids = [j for j in section_indices if start_section_id <= j <= pre_toks[-1][0]]
-        section_ids = section_ids if len(section_ids) > 0 else [-1]
-        passage_text = " ".join([w for p_id, s_id, w in pre_toks])
-        passages += [
-            {
-                "article_title": article_title,
-                "section_title": " & ".join(["Start" if j == -1 else paragraphs[j].strip() for j in section_ids]),
-                "wiki_id": article_title.replace(" ", "_"),
-                "start_paragraph": pre_toks[0][0],
-                "start_character": pre_toks[0][1],
-                "end_paragraph": pre_toks[-1][0],
-                "end_character": pre_toks[-1][1] + len(pre_toks[-1][2]) + 1,
-                "passage_text": passage_text,
-            }
-        ]
-    return passages
-
-
-_SPLIT_FUNCTION_MAP = {
-    "wikipedia": wikipedia_article_snippets,
-    "wiki40b": wiki40b_article_snippets,
-}
-
-
-def generate_snippets(wikipedia, split_function, passage_len=100, overlap=0):
-    for i, article in enumerate(wikipedia):
-        for doc in split_function(article, passage_len, overlap):
-            part_id = json.dumps(
-                {
-                    "datasets_id": i,
-                    "wiki_id": doc["wiki_id"],
-                    "sp": doc["start_paragraph"],
-                    "sc": doc["start_character"],
-                    "ep": doc["end_paragraph"],
-                    "ec": doc["end_character"],
-                }
-            )
-            doc["_id"] = part_id
-            doc["datasets_id"] = i
-            yield doc
-
-
-class WikiSnippetsConfig(datasets.BuilderConfig):
-    """BuilderConfig for WikiSnippets."""
-
-    def __init__(
-        self, wikipedia_name="wiki40b", wikipedia_version_name="en", snippets_length=100, snippets_overlap=0, **kwargs
-    ):
-        """BuilderConfig for WikiSnippets.
-        Args:
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(WikiSnippetsConfig, self).__init__(**kwargs)
-        self.wikipedia_name = wikipedia_name
-        self.wikipedia_version_name = wikipedia_version_name
-        self.snippets_length = snippets_length
-        self.snippets_overlap = snippets_overlap
-
-
-class WikiSnippets(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIG_CLASS = WikiSnippetsConfig
-    BUILDER_CONFIGS = [
-        WikiSnippetsConfig(
-            name="wiki40b_en_100_0",
-            version=datasets.Version("1.0.0"),
-            wikipedia_name="wiki40b",
-            wikipedia_version_name="en",
-            snippets_length=100,
-            snippets_overlap=0,
-        ),
-        WikiSnippetsConfig(
-            name="wikipedia_en_100_0",
-            version=datasets.Version("2.0.0"),
-            wikipedia_name="wikipedia",
-            wikipedia_version_name="20220301.en",
-            snippets_length=100,
-            snippets_overlap=0,
-        ),
-    ]
-
-    test_dummy_data = False
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "_id": datasets.Value("string"),
-                    "datasets_id": datasets.Value("int32"),
-                    "wiki_id": datasets.Value("string"),
-                    "start_paragraph": datasets.Value("int32"),
-                    "start_character": datasets.Value("int32"),
-                    "end_paragraph": datasets.Value("int32"),
-                    "end_character": datasets.Value("int32"),
-                    "article_title": datasets.Value("string"),
-                    "section_title": datasets.Value("string"),
-                    "passage_text": datasets.Value("string"),
-                }
-            ),
-            supervised_keys=None,
-            homepage="https://dumps.wikimedia.org",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        # WARNING: It is a bad practice to use `datasets.load_dataset` inside a loading script. Please, avoid doing it.
-        wikipedia = datasets.load_dataset(
-            path=self.config.wikipedia_name,
-            name=self.config.wikipedia_version_name,
-        )
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"wikipedia": wikipedia}),
-        ]
-
-    def _generate_examples(self, wikipedia):
-        logger.info(f"generating examples from = {self.config.wikipedia_name} {self.config.wikipedia_version_name}")
-        for split in wikipedia:
-            dset = wikipedia[split]
-            split_function = _SPLIT_FUNCTION_MAP[self.config.wikipedia_name]
-            for doc in generate_snippets(
-                dset, split_function, passage_len=self.config.snippets_length, overlap=self.config.snippets_overlap
-            ):
-                id_ = doc["_id"]
-                yield id_, doc

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